| 72.34% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 3 | | adverbTags | | 0 | "He stepped further [further]" | | 1 | "she said softly [softly]" | | 2 | "he said finally [finally]" |
| | dialogueSentences | 47 | | tagDensity | 0.362 | | leniency | 0.723 | | rawRatio | 0.176 | | effectiveRatio | 0.128 | |
| 75.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1457 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "lightly" | | 2 | "softly" | | 3 | "completely" | | 4 | "slowly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 58.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1457 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "familiar" | | 2 | "treacherous" | | 3 | "scanned" | | 4 | "predator" | | 5 | "tension" | | 6 | "silence" | | 7 | "weight" | | 8 | "could feel" | | 9 | "magnetic" | | 10 | "looming" | | 11 | "reminder" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1456 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1160 | | uniqueNames | 5 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Marseille | 2 | | London | 3 | | Evan | 2 | | Lucien | 11 | | Rory | 10 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a betrayal" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.687 | | wordCount | 1456 | | matches | | 0 | "not to touch her, but to gesture with the ivory handle of his cane" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 25.1 | | std | 23.34 | | cv | 0.93 | | sampleLengths | | 0 | 72 | | 1 | 75 | | 2 | 38 | | 3 | 6 | | 4 | 78 | | 5 | 31 | | 6 | 29 | | 7 | 6 | | 8 | 11 | | 9 | 37 | | 10 | 4 | | 11 | 16 | | 12 | 16 | | 13 | 4 | | 14 | 4 | | 15 | 37 | | 16 | 48 | | 17 | 22 | | 18 | 79 | | 19 | 29 | | 20 | 13 | | 21 | 18 | | 22 | 19 | | 23 | 11 | | 24 | 4 | | 25 | 88 | | 26 | 13 | | 27 | 23 | | 28 | 6 | | 29 | 10 | | 30 | 68 | | 31 | 8 | | 32 | 25 | | 33 | 29 | | 34 | 43 | | 35 | 11 | | 36 | 6 | | 37 | 40 | | 38 | 55 | | 39 | 23 | | 40 | 13 | | 41 | 8 | | 42 | 2 | | 43 | 33 | | 44 | 8 | | 45 | 5 | | 46 | 3 | | 47 | 52 | | 48 | 9 | | 49 | 3 |
| |
| 94.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 98 | | matches | | 0 | "was slicked" | | 1 | "were coiled" | | 2 | "was piled" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 197 | | matches | (empty) | |
| 98.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 128 | | ratio | 0.016 | | matches | | 0 | "The deadbolts were her own addition to the original three; she had triple-checked them the moment she stepped inside the flat that morning." | | 1 | "The smell of garlic and turmeric wafted up from the restaurant downstairs, mixing with his scent—expensive cologne, old leather, something metallic and sharp that she associated with danger." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1166 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.02830188679245283 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.011149228130360206 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 11.38 | | std | 7.01 | | cv | 0.616 | | sampleLengths | | 0 | 12 | | 1 | 21 | | 2 | 16 | | 3 | 23 | | 4 | 12 | | 5 | 4 | | 6 | 23 | | 7 | 13 | | 8 | 23 | | 9 | 3 | | 10 | 8 | | 11 | 27 | | 12 | 6 | | 13 | 12 | | 14 | 21 | | 15 | 14 | | 16 | 9 | | 17 | 22 | | 18 | 20 | | 19 | 11 | | 20 | 10 | | 21 | 19 | | 22 | 6 | | 23 | 11 | | 24 | 3 | | 25 | 6 | | 26 | 28 | | 27 | 4 | | 28 | 16 | | 29 | 4 | | 30 | 9 | | 31 | 3 | | 32 | 4 | | 33 | 4 | | 34 | 10 | | 35 | 12 | | 36 | 6 | | 37 | 9 | | 38 | 4 | | 39 | 19 | | 40 | 9 | | 41 | 16 | | 42 | 13 | | 43 | 9 | | 44 | 26 | | 45 | 20 | | 46 | 13 | | 47 | 20 | | 48 | 17 | | 49 | 12 |
| |
| 33.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.265625 | | totalSentences | 128 | | uniqueOpeners | 34 | |
| 36.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 91 | | matches | | 0 | "Instead, she reached forward." |
| | ratio | 0.011 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 91 | | matches | | 0 | "It came three times, a" | | 1 | "She checked the lock." | | 2 | "Her heart hammered against her" | | 3 | "She ignored the small crescent" | | 4 | "She unlocked the middle bolt," | | 5 | "She opened the door a" | | 6 | "He had to duck slightly" | | 7 | "His hair was slicked back," | | 8 | "He looked older than the" | | 9 | "He wore that ivory-handled cane," | | 10 | "His voice was low, carrying" | | 11 | "She kept the chain in" | | 12 | "She unlocked the chain and" | | 13 | "She opened the door the" | | 14 | "He didn’t move immediately." | | 15 | "He waited for her clearance," | | 16 | "He stepped over the threshold," | | 17 | "He was close enough that" | | 18 | "she said, her voice cooler" | | 19 | "He stepped further into the" |
| | ratio | 0.626 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 91 | | matches | | 0 | "The knock against the door" | | 1 | "It came three times, a" | | 2 | "Rory paused mid-cram, a stray" | | 3 | "Ptolemy, the tabby, lifted his" | | 4 | "Rory walked barefoot across the" | | 5 | "She checked the lock." | | 6 | "The deadbolts were her own" | | 7 | "Her heart hammered against her" | | 8 | "She ignored the small crescent" | | 9 | "The chain clicked." | | 10 | "She unlocked the middle bolt," | | 11 | "She opened the door a" | | 12 | "Lucien stood on the other" | | 13 | "He had to duck slightly" | | 14 | "His hair was slicked back," | | 15 | "He looked older than the" | | 16 | "He wore that ivory-handled cane," | | 17 | "His voice was low, carrying" | | 18 | "Rory didn’t answer." | | 19 | "She kept the chain in" |
| | ratio | 0.923 | |
| 54.95% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 91 | | matches | | 0 | "Even through the gap, his" |
| | ratio | 0.011 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "Even through the gap, his suit looked impeccable, that charcoal charcoal tailored to a military precision that screamed money and secrets." | | 1 | "His voice was low, carrying that faint, unplaceable accent that hinted at Marseille and the streets deeper than London." | | 2 | "Her hand, trembling slightly, found the hand holding the cane." | | 3 | "The house was quiet, save for the noise of the curry house below and the breathing of two people who were about to spend a long night in the dark." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 6 | | matches | | 0 | "she said, her voice cooler than she felt" | | 1 | "He stepped further, his eyes tracking the room" | | 2 | "He leaned, the cane tapping once against the floor" | | 3 | "she said, her voice trembling slightly" | | 4 | "he said finally, his voice rough" | | 5 | "she said, her voice hard" |
| |
| 43.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 5 | | fancyTags | | 0 | "she corrected (correct)" | | 1 | "she lied (lie)" | | 2 | "she whispered (whisper)" | | 3 | "he murmured (murmur)" | | 4 | "she lied (lie)" |
| | dialogueSentences | 47 | | tagDensity | 0.255 | | leniency | 0.511 | | rawRatio | 0.417 | | effectiveRatio | 0.213 | |